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DBMS > Apache Phoenix vs. Yaacomo

System Properties Comparison Apache Phoenix vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#123  Overall
#62  Relational DBMS
Score0.00
Rank#403  Overall
#163  Relational DBMS
Websitephoenix.apache.orgyaacomo.com
Technical documentationphoenix.apache.org
DeveloperApache Software FoundationQ2WEB GmbH
Initial release20142009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
Unix
Windows
Android
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standard

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More resources
Apache PhoenixYaacomo
DB-Engines blog posts

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Recent citations in the news

Liberacion, Grupo Bryndis, and Apache at Versalles Palace Event Center (09 Jun 2023)
12 April 2023, songkick.com

The Design of Strongly Consistent Global Secondary Indexes in Apache Phoenix — Part 2
8 April 2023, engineering.salesforce.com

Bulk loading into Apache Phoenix using psql - Azure HDInsight
26 September 2022, learn.microsoft.com

Download Phoenix ODBC Driver 1.0.8.1011
23 October 2022, cloudera.com

Phoenix ODBC Driver with SQL Connector - Simba - insightsoftware
5 January 2023, insightsoftware.com

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15 June 2021, SiliconANGLE News

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